import requests
import pygal
from pygal.style import LightColorizedStyle as LCS,LightenStyle as LS

#执行API调用并存储响应
url = 'https://api.github.com/search/repositories?q=language:python&sort=stars'
r = requests.get(url)
# print("Status code:", r.status_code)

#将API响应存储在一个变量中
response_dict = r.json()
#处理结果
# print(response_dict.keys())
# print("仓库总数：",response_dict['total_count'])
#探索有关仓库信息
repo_dicts = response_dict['items']
# print("仓库数量：",len(repo_dicts))
#研究第一个仓库
repo_dict = repo_dicts[0]
# print("\n键：",len(repo_dict))
# for key in sorted(repo_dict.keys()):
#     print(key)
# print("\nSelected information about first repository")
# print('Name:', repo_dict['name'])
# print('Owner:', repo_dict['owner']['login'])
# print('Stars:', repo_dict['stargazers_count'])
# print('Repository:', repo_dict['html_url'])
# print('Created:', repo_dict['created_at'])
# print('Updated:', repo_dict['updated_at'])
# print('Description:', repo_dict['description'])
# print("\nSelected information about each repository")
names, stars ,plot_dicts = [], [], []
for repo_dict in repo_dicts:
    # print('\nName:', repo_dict['name'])
    # print('Owner:', repo_dict['owner']['login'])
    # print('Stars:', repo_dict['stargazers_count'])
    # print('Repository:', repo_dict['html_url'])
    # print('Description:', repo_dict['description'])
    names.append(repo_dict['name'])
    stars.append(repo_dict['stargazers_count'])
    plot_dict = {
        'value': repo_dict['stargazers_count'],
        'label': repo_dict['description'],
        'xlink': repo_dict['html_url'],
    }
    plot_dicts.append(plot_dict)
#可视化
my_style = LS('#333366', base_style=LCS)
my_config = pygal.Config()
my_config.x_label_rotation = 45
my_config.show_legend = False
my_config.title_font_size = 24
my_config.label_font_size = 14
my_config.major_label_font_size = 18
my_config.truncate_label = 15
my_config.show_y_guides = False
my_config.width = 1000
chart = pygal.Bar(my_config,style=my_style)
chart.title = 'Most-Starred Python Projects on GitHub'
chart.x_labels = names
chart.add('', plot_dicts)
chart.render_to_file('python_repos.svg')
